---
title: "AMI Scientist/Interns - Geometry and 3D Vision"
company: "AMI"
company_url: "https://www.remjobs.works/companies/ami"
url: "https://www.remjobs.works/job/ami-scientist-interns-geometry-and-3d-vision-f25f1b8b-dfe5-495b-8ecd-4236675ed649"
apply_url: "https://jobs.ashbyhq.com/ami/0d7332d8-b8e7-40d3-89b6-dfc02b40bfa2"
workplace: onsite
location: "Paris"
employment_type: full-time
seniority: internship
role: other
region: europe
skills: ["python", "pytorch"]
date_posted: 2026-08-27T10:46:00.167Z
first_seen_by_remjobs: 2026-09-15T18:15:15.131Z
---

# AMI Scientist/Interns - Geometry and 3D Vision

**AMI** · Paris

Apply: https://jobs.ashbyhq.com/ami/0d7332d8-b8e7-40d3-89b6-dfc02b40bfa2

## About the role

### About AMI

We are building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, and (4) are controllable and safe.

We are a team of scientists and engineers building frontier world model-based AI. We combine the scientific rigor of a top-tier research institute with focus on engineering excellence and execution.

We are a global company, with offices in Paris, Montreal, New York, and Singapore. Come build the future of AI with us!

### About this Role

AMI believes AI agents should predict and plan using an internal model of the world — their world model. We’re looking for new team members to advance the state-of-the-art in world modeling. We believe that video is a rich and abundant source of data reflecting how the world works, and that in general models need to be able to process continuous, high-dimensional data from a variety of sensors to: (a) understand context about the current state of the physical world, (b) make predictions about how the world will evolve, possibly as a result of actions taken, and (c) plan and adapt sequences of actions to complete complex tasks, possibly in dynamic, complex environments.

You will work with a team on world model research efforts, with a specific focus on 3D geometry of the real world, including::

- Self-supervised learning methods to efficiently learn from video and other continuous, high-dimensional signals

- New architectures that efficiently learn to predict world dynamics from video and other high-dimensional signals

- Scalable algorithms for pre-processing and curating video data

- Evaluations for benchmarking world model understanding, prediction, and planning

- Efficient algorithms for model-based planning and reasoning **Minimum Qualifications:**

- Bachelor’s degree or equivalent experience in Computer Science or a related field

- Proficiency in Python

- Ability to design, run, and analyze experiments independently

- Understanding of machine learning fundamentals, large-scale training, and accelerator-based (GPU or TPU) compute environments **Preferred Qualifications:**

- Deep expertise in at least one of the following: 3D/4D reconstruction, SLAM or SfM, depth and pose estimation, point tracking.

- Hands-on proficiency with a rendering or simulation engine (Blender, Isaac Sim, etc.), including scripted scene generation and batch rendering pipelines.

- Demonstrated record of contributing to advanced research projects via publications and/or major model releases

- Experience developing evaluation frameworks for world models

- Experience releasing and maintaining open-source projects

- Proficiency in a deep learning framework (PyTorch or JAX)

---

Source: AMI's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/ami-scientist-interns-geometry-and-3d-vision-f25f1b8b-dfe5-495b-8ecd-4236675ed649